19 research outputs found

    [paracoccidioidomycosis In Cerebral Hemisphere And Brainstem: Case Report].

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    We report on a 36 years-old man that had been at the Amazon forest four years before. Six months before the admission he had developed a progressive quadriparesis, gait ataxia, dysphagia, dysarthria, difficulty in breathing and hiccup. The gadolinium-enhanced T1-weighted MRI showed a lesion into the right parietoccipital area and another into the medulla, that was the largest. There was any evidence of tuberculosis or AIDS. The patient was submitted to microsurgical approach to the medulla. Pathological examination revealed paracoccidioidomycosis. Treatment with anphotericin B till 2100 mg was administered followed by sulfamethoxazole-trimetoprim for three months plus physical therapy. The patient went back to his activities six months after the end of the treatment. Comments are presented about the participation of the immunological system and of the cytokines (interleukines).64686-

    Paracoccidioidomycosis in cerebral hemisphere and brainstem: case report

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    We report on a 36 years-old man that had been at the Amazon forest four years before. Six months before the admission he had developed a progressive quadriparesis, gait ataxia, dysphagia, dysarthria, difficulty in breathing and hiccup. The gadolinium-enhanced T1-weighted MRI showed a lesion into the right parietoccipital area and another into the medulla, that was the largest. There was any evidence of tuberculosis or AIDS. The patient was submitted to microsurgical approach to the medulla. Pathological examination revealed paracoccidioidomycosis. Treatment with anphotericin B till 2100mg was administered followed by sulfamethoxazole-trimetoprim for three months plus physical therapy. The patient went back to his activities six months after the end of the treatment. Comments are presented about the participation of the immunological system and of the cytokines (interleukines).Relata-se sobre um homem de 36 anos com passagem quatro anos antes pela selva amazônica. Admitido após seis meses do aparecimento progressivo de tetraparesia, ataxia de marcha, disfagia, disartria, dispnéia e soluço. A ressonância magnética revelou lesão parietoccipital à direita e no bulbo, sendo esta última maior. Investigações para tuberculose e síndrome da imunodeficiência adquirida tiveram resultados negativos. Foi submetido a microcirurgia da lesão do bulbo. O estudo anatomopatológico revelou paracoccidioidomicose. Recebeu tratamento com anfotericina B até 2100 mg, e sulfametoxazol-trimetoprim por três meses, e fisioterapia. Voltou às atividades após seis meses do término do tratamento. Comenta-se sobre a participação do sistema imunológico e das citocinas (interleucinas).68668

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

    Get PDF

    Pervasive gaps in Amazonian ecological research

    Get PDF
    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
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